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Dynamics based on analysis of public data for spreading of disease

Lima, Leonardo S.

Scientific reports, 2021-06, Vol.11 (1), p.12177-12177, Article 12177 [Periódico revisado por pares]

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Título:
Dynamics based on analysis of public data for spreading of disease
Autor: Lima, Leonardo S.
Assuntos: Coronaviruses ; COVID-19 ; Disease transmission ; Noise ; Population ; Public health ; Stochastic models ; Stochasticity
É parte de: Scientific reports, 2021-06, Vol.11 (1), p.12177-12177, Article 12177
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
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Descrição: Abstract The stochastic model for epidemic spreading of the novel coronavirus disease based on the data set supply by the public health agencies in countries as Brazil, United States and India is investigated. We perform a numerical analysis using the stochastic differential equation in Itô’s calculus for the estimating of novel cases daily, as well as analytical calculations solving the correspondent Fokker–Planck equation for the probability density distribution of novel cases, P ( N ( t ), t ). Our results display that the model based in the Itô’s diffusion fits well to the results due to uncertainty in the official data and to the number of tests realized in populations of each country.
Editor: London: Nature Publishing Group
Idioma: Inglês

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